Relay is the routing layer that sits between your application and the OpenGPU network. Instead of managing clusters, scheduling, and GPU provisioning, you call a single HTTPS endpoint. Relay takes care of provider selection, routing, retries, and failover in the background. You keep your existing stack. Relay slots in as a simple API that your backends, agents, and internal tools can call whenever they need GPU power.

Relay includes a full fiat billing system so teams can use decentralized GPUs the same way they use AWS, Google Cloud, or Azure. No tokens, no crypto wallets, no blockchain steps required. Monthly invoices and standard payment methods. Cost visibility and predictable billing. No idle GPU waste you only pay when jobs run. 60%–80% cheaper than centralized clouds due to zero overhead. This makes Relay drop-in compatible with procurement, finance teams, and enterprise workflows.

Relay focuses on three things that matter in production environments. A simple interface, smart routing, and reliability by default.

Send AI workloads through a single API. Works with any backend or framework.
Relay selects the best providers based on performance, memory, and live health.
Relay retries or re-routes automatically if a provider slows or fails.
Relay moves real AI workloads across the OpenGPU network, not benchmarks or demos.


Low-latency inference for agents, chatbots, tools, and real products.
Diffusion and rendering workloads managed automatically across providers.
Embeddings, indexing, and long-running tasks routed efficiently.
Relay keeps agent systems running even when providers churn.
Relay continuously evaluates and routes jobs behind the scenes

Relay exposes the network through a simple HTTPS endpoint with fiat billing. Pricing is already more than 50 percent cheaper than centralized services on average and many workloads land in the 60-80 percent savings band compared to major clouds.

Connect your stack through a single HTTPS endpoint and scale at your own pace.
